served from IRI/LDEO Climate Data Library
∂M M: ∂M Ensemble Member data
∂M M.Independent Variables (Grids)
- M (realization)
- grid: /M (unitless) ordered (1.5) to (9.5) by 1.0 N= 9 pts :grid
Other Info
- datatype
- realarraytype
- gridid
- 181682872
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- realization
- units
- unitless
Last updated: Tue, 08 Dec 2020 21:55:17 GMT
Data Views
Views
line plots
color bars
scatter| L | M | S | X | Y | |
 IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tmin[ X Y | L M S] | M | O=0.5 | M | M | M |
|---|---|---|---|---|---|
| grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid | M | ||||
| grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2019) by 1.0 N= 103 pts :grid | M | ||||
| grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid | O=0.5 | ||||
| grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid | M | ||||
| grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2019) by 1.0 N= 103 pts :grid | M | ||||
 $partialdiff sub M$ M[ M |] | M |
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along M
- Differentiate along M
- Take differences along M
RMS (root mean square with mean *not* removed) over M |
RMSA (root mean square with mean removed) over M |
Maximum over M |
Minimum over M |
Detrend (best-fit-line) over M |
Note on units